Data Scientist
On-siteBengaluru, Karnataka, India
Job Summary
Analyze product requirements to design data science solutions and build deep learning NLP models customized for specific needs. Develop data engineering scripts, including parsers, to construct training datasets from unstructured and multimodal sources like text, PDFs, drawings, and images. Write production-grade Python code for model development, inference, and deployment in cloud-native microservices environments on AWS, GCP, or Azure. Own AI solutions end-to-end, ranging from data pipelines and proof of concept to model tuning, implementation, and monitoring. Design agentic workflows using LLMs, tools, retrieval, and memory to solve high-impact product problems involving reasoning, planning, and action across messy real-world data.
Required Qualifications
- 7+ years of experience building production ML / AI systems
- Recent experience in LLMs or AI agents in data science
- Strong Python engineer with a bias toward clean, scalable, and maintainable code
- Proven experience working with unstructured data and images at scale
- Hands-on experience with agent patterns (tool use, function calling, planning, memory)
- Good proficiency and hands-on experience with LLM's and advanced AI models
- Experience deploying AI systems on AWS, GCP, or Azure in microservices architectures
- Thrives in fast-moving startup environments with high ownership and ambiguity
- Strong Python skills with focus in data engineering and data analysis
- Proficiency with data mining algorithms such as Scikit-Learn, NumPy, SciPy and Pandas
- Strong understanding of machine learning models, model training, and hyper parameter tuning
- Working knowledge of deep learning models, loss functions, and accuracy measures
- Hands-on proficiency with PyTorch / TensorFlow / Keras
- Experience in NLP solutions
- Experience in parsing pdf and text documents
- Experience with statistical regression, neural nets, deep learning, decision trees, SVM, ensembles
- Multi-Cloud experience and proficiency with providers AWS, GCP or Azure
- Comfortable working in a micro services environment
- Bachelor's or Master's Degree in Computer Science or related fields
Desired Qualifications
- 7+ years of experience building production ML / AI systems, with recent experience in LLMs or AI agents in data science
- Experience in NLP solutions preferred
- Experience in parsing pdf and text documents preferred
- Experience with statistical regression, neural nets, deep learning, decision trees, SVM, ensembles is expected
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